NUNeunucStart build

Runtime-centered systems platform

Modular orchestration infrastructure for the work that does not fit in one app.

Neunuc is a platform and delivery system for AI orchestration, research operations, infrastructure-aware execution, and federal-ready technical work. Its core is a composable runtime model called nuc.

Runtime

nuc-centered execution model

Objects

12 platform primitives

Surfaces

site, docs, API, CLI, agents

Delivery

software, research, federal readiness

Positioning

A public site that can grow into docs, proposals, and platform operations.

The structure avoids vague startup language and organizes Neunuc around a concrete execution model: primitives, runtime, services, capabilities, and delivery surfaces.

Platform Architecture

Turn scattered tools, repositories, documents, and workflows into one coherent operating model.

AI + Knowledge Systems

Ingest files, source code, research, and notes into searchable, citable, reusable intelligence.

Federal-Ready Delivery

Convert technical capability into service packages, diagrams, statements, and operational documentation.

System flow

Inputs become operations. Operations become reusable outputs.

Inputs

PDFs
Markdown
Repos
Forms
APIs
Notes

Runtime

Operation
Context
Policy
Workflow
Agent
State

Services

RAG
Search
Graph
Storage
Auth
Telemetry

Outputs

Briefs
Docs
Code
Diagrams
Statements
Deploys

Architecture

A layered platform built around execution primitives.

Interfaces
Web, API, CLI, desktop, dashboards, agents, and document surfaces.
L6
Capabilities
Research operations, automation engineering, analytics, federal delivery, infrastructure consulting.
L5
Platform Services
Knowledge graph, RAG, search, auth, storage, telemetry, messaging, and document services.
L4
NUC Runtime
Operation execution, workflow routing, scheduling, state, context, memory, and agent coordination.
L3
System Foundation
Configuration, lifecycle, dependency resolution, security boundaries, event bus, and policy checks.
L2
Infrastructure
Compute, storage, identity, network, local tooling, cloud providers, and external APIs.
L1

Execution loop

The heartbeat of the runtime is lifecycle, not branding.

Create

01

Capture an artifact, task, document, repository, request, or workflow input.

Normalize

02

Convert raw material into typed objects with metadata, ownership, source, and intent.

Resolve

03

Attach context, dependencies, policy constraints, related knowledge, and available modules.

Execute

04

Run operations through agents, services, workflows, or human-reviewed delivery paths.

Observe

05

Record state, outputs, traces, decisions, failures, and reusable evidence.

Reuse

06

Persist knowledge back into docs, graphs, packages, proposals, and future automations.

Object model

Small primitives keep the platform composable.

Operation

The central unit of work.

Artifact

A document, codebase, diagram, dataset, output, or evidence object.

Resource

A compute, storage, credential, model, API, or human capacity.

Module

A replaceable implementation unit with a stable contract.

Context

The evidence, memory, scope, constraints, and state around an operation.

Workflow

An ordered or conditional chain of operations.

Agent

An automated executor that performs bounded work.

Policy

Rules for validation, permissions, safety, compliance, and review.

Knowledge

Structured claims, relationships, citations, and reusable understanding.

Connector

A bridge to external systems, repos, files, APIs, or services.

Capability

A packaged service outcome built from primitives.

Interface

A user, machine, document, or agent-facing surface.